import joblib
import pandas as pd

regr = joblib.load("D:\daily work\ml\\test\\decision_tree_8.joblib")

df_i = pd.read_csv("D:\daily work\ml\\test\\test_data\\i_test8.csv")

test_data = df_i.drop(["datetime", "close", "high", "low", "open", "volume", "open_interest", "wh_ind", "date", "time", "symbol", "y1", "y2"], axis=1)

y_pre = regr.predict(test_data)

